Consensus on intervals of communication delay

Savino, Heitor J.; Souza, Fernando O.; Pimenta, Luciano C. A.

doi:10.1007/s11633-017-1095-6

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…Thus, this paper will not consider continuous-time models, but the results covered in the subsequent parts of this paper certainly can be studied in continuous-time as future work. We expect that many of the analysis techniques found in the extensive multi-agent systems literature will be applicable for analysis of more complicated continuous-time opinion dynamics models, given their similarity to continuous-time multi-agent consensus algorithms, see e.g., [58,59].…”

Section: Degroot and Friedkin-johnsen Modelsmentioning

confidence: 99%

Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks

Anderson

2019

Int. J. Autom. Comput.

119

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A fundamental aspect of society is the exchange and discussion of opinions between individuals, occurring in situations as varied as company boardrooms, elementary school classrooms and online social media. After a very brief introduction to the established results of the most fundamental opinion dynamics models, which seek to mathematically capture observed social phenomena, a brief discussion follows on several recent themes pursued by the authors building on the fundamental ideas. In the first theme, we study the way an individual′s self-confidence can develop through contributing to discussions on a sequence of topics, reaching a consensus in each case, where the consensus value to some degree reflects the contribution of that individual to the conclusion. During this process, the individuals in the network and the way they interact can change. The second theme introduces a novel discrete-time model of opinion dynamics to study how discrepancies between an individual′s expressed and private opinions can arise due to stubbornness and a pressure to conform to a social norm. It is also shown that a few extremists can create "pluralistic ignorance", where people believe there is majority support for a position but in fact the position is privately rejected by the majority. Last, we consider a group of individuals discussing a collection of logically related topics. In particular, we identify that for topics whose logical interdependencies take on a cascade structure, disagreement in opinions can occur if individuals have competing and/or heterogeneous views on how the topics are related, i.e., the logical interdependence structure varies between individuals.

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Section: Degroot and Friedkin-johnsen Modelsmentioning

confidence: 99%

Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks

Anderson

2019

Int. J. Autom. Comput.

119

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“…When multiple nodes exchange data through the network, data collision, multi-path transmission, connection interruption, and network congestion often occur (Hu, Wang, Liu, & Gao, 2016). Therefore, time delays and package dropouts inevitably occur, which will affect the performance of the MASs and even lead to its instability (Savino, Souza, & Pimenta, 2018).…”

Section: Consensus Subjected To Communication Constraintsmentioning

confidence: 99%

A survey of the consensus for multi-agent systems

Tan

2019

Systems Science & Control Engineering

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Multi-agent systems (MASs) has developed into an emerging complex system science and gradually infiltrated into various fields of social life. The problem of consensus (i.e. all agents eventually to reach an agreement upon a common quantity of interest) is the basis of distributed coordinated control of the MASs, which has attracted tremendous attention from both theoretical and practical perspectives. This paper comprehensively reviews the state-of-the-art development in the consensus of MASs. Firstly, the basic framework and overview of MASs and consensus are discussed. Secondly, the motivations, results and methods of several kinds of consensus problems are introduced, including consensus subjected to communication constraints, leader-following consensus, group consensus, consensus based on trigger mechanism, finite-time consensus, multi-consensus and multi-tracking. Finally, some challenging issues and development trends of the consensus of MASs are considered.

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Prevalence of Multi-Agent System Consensus in Cloud Computing

Koley¹,

Acharjya²

2022

Springer Tracts in Human-Centered Computing

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Consensus on intervals of communication delay

Cited by 6 publications

References 20 publications

Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks

Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks

A survey of the consensus for multi-agent systems

Prevalence of Multi-Agent System Consensus in Cloud Computing

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